会计数据分析 Solutions-Manual Chapter-4-Labs-SM

Copyright©2019McGraw-HillEducation.Allrightsreserved.NoreproductionordistributionwithoutthepriorwrittenconsentofMcGraw-HillEducation.

CHAPTER4LABS

Lab4-1UsePivotChartstoVisualizeDeclarativeData

Lab4-2UseTableautoPerformExploratoryAnalysisandCreateDashboards

Lab4-3ComprehensiveLab:Dillard’sStoreData:CreateGeographicDataVisualizationsinTableau

Lab4-4ComprehensiveLab:Dillard’sStoreData:VisualizingRegressioninTableau

(Level1Header)Lab4-1UsePivotChartstoVisualizeDeclarativeData

TakeascreenshotthatshowsthePivotTableandthePivotChart(4-1A).

KeyScreenshot:

TakeascreenshotthatincludesyourPivotChart,PivotTable,andbothslicers(4-1B).

KeyScreenshot:

Q1.Spendafewminutesfilteringthedatawiththeslicers.Namethreeimportantinsightsthatwereeasytoidentifythroughthisvisualization.

Answerswillvary.

Q2.WhatdoesthedatavisualizationandtheinteractivityoftheslicerprovideyouraudiencethattheoriginalPivotTabledoesnot?

Answerswillvary,butstudentsmayidentifytheadvantageofthevisualizationhelpingtheaudienceidentifydifferencesinquantitysoldacrossproductsmorequickly,andtheslicershelptoquicklyfilterthedatatogatherinsights.

Alternative2:VisualizethePivotTablewithConditionalFormattingandSparklines

TakeascreenshottoshowtheConditionalFormattingandtheSparklines(4-1C).

Q3.Whendoyouthinkasparklineand/orconditionalformattingwouldbepreferableovercreatingaPivotChart?

Answerswillvary,butstudentsmayrespondthatsparklinesshowaquickersnapshotofhowaproductisperformingovertime,whilethePivotChartandslicersareamoreinteractivewaytodrillintothedata.

Q4.Whatothervisualizationswouldbeusefultointerpretthisdata?Ifyouweretocreateareporttoberunmonthly,whataretwovisualizationsthatshouldbeincluded?

Answerswillvary.

Q5.Provideawrittenreportdiscussingthedataanalysisprojectandtheinsightsthatshouldbegainedfromthisvisualization.

Answerswillvary.

Endoflab

(Level1Header)Lab4-2UseTableautoPerformExploratoryAnalysisandCreateDashboards

(Level2Header)Part1:IdentifytheQuestions

Q1.UsingtheUMLdiagram,identifywhichtable(s)andattributesyouwillneedtoansweryourinitialquestionregardingamountofproductssold.

Sales_Subset:Product_Code,Sales_Order_Quantity_Sold

CouldimprovetheoutputbyjoiningFGI_ProducttabletoviewProduct_Description(insteadofjustProduct_CodefromtheSales_Subsettable)

(Level2Header)Part2:MastertheData

Q2.IftheSalesOrderDatedatatypehadimportedasnumber,howmightthatcauseaproblemwithouranalysisifwewantedtodigintothedatabymonth,forexample?

Tableauiscapableofperformingsmartdateanalysis(similartoExcel).Whilemonthsanddaysarealignedwithnumbers,(months1-12,days1-28or30or31),importingthedataasadatetypeallowsyoutoperformweekly,monthly,andquarterlyanalysisthatwouldtakemanualgroupingifthedatatypewereonlyanumberinsteadofadate.

Q3.WhydidyourSalesOrderIDattributeimportastext,whenitlookslikeeachfieldhasnumericaldatainit?WouldtherebeanybenefitinSalesOrderIDbeingstoredasanumber?Whywillitnotpresentaprobleminouranalysistomaintainthisdataastext?

EventhoughthePrimaryKeyofSalesOrderIDisanumber,itdoesn’thaveanyquantitativeornumericalmeaning.It’snotmeaningfultoaddSalesOrder20001andSalesOrder20002.Itcanbemeaningfultocountthenumberofsalesordersonagivendayorduringaweek,butaddingoraveragetheactualnumbersassociatedwithSalesOrderIDisnotmeaningfulanalysis.Thisiswhyit’snotaproblemtopresentthisdatatypeastext.

(Level2Header)PerformExploratoryAnalysis

Takeascreenshot(4-2A).

KeyScreenshot:

Q4.Whataretwowaysthatyoucanthinktoimprovethisvisualtomakeitmoreeasilyunderstandable?

Answerswillvary,butthenexttwostepsaregreatwaystoimprovethevisual–tosortthebarsbyamountofproductsold,descending,andalsotoaddlabelstoeachofthebars.

Takeascreenshot(4-2B).

KeyScreenshot:

Takeascreenshot(4-2C).

KeyScreenshot:

Takeascreenshot(4-2D).

KeyScreenshot:

(Level2Header)CommunicateResults

Filterbyeitherastateoraproduct,andtakeascreenshot(4-2E).

KeyScreenshot(Answerswillvary,dependingonwhichitemsthestudentusestofilter):

Q5.Aftercreatingthesesheetsandthedashboard,whatadditionaldatawouldyourecommendthatSlainteanalyze?WhatisanotherdatavisualizationthatwouldbehelpfulforSlainte’sdecision-making?

Answerswillvary.

EndofLab

Lab4-3ComprehensiveLab:Dillard’sStoreData:CreateGeographicDataVisualizationsinTableau

(Level2Header)Part1:IdentifytheQuestions

Q1. Howwouldthisinformation,averagetransactionbalancebystate,helpamanagermakedecisions?

Answerswillvary.Managerscanusethisinformationtocomparetheperformanceacrossstates,andiftheyrecognizethattheyareinalower-averagetransactionstate,theymaylooktothehigher-averagetransactionstatestoseewhatisbeingdonedifferently.

Q2. Howwouldyouthinkmanagerswouldliketovisualizetransactionbalancebystate?Whatwouldbethemost(andless)effectivewaystovisualizethesetransactions?

Answerswillvary.PiechartswouldbeapoorwaytovisualizethisdatabecausetherearesomanystatesthathaveDillard’sstores,therewouldbetoomanypiecesofpieforittobemeaningful.Barcharts(histograms)wouldworkwell,aswouldmaps.

(Level2Header)Part2:MastertheData

TAKEASCREENSHOTOFYOURRESULTS(4-3A)

KeyScreenshot:

Endofthisprocess

(Level2Header)Part3:Performananalysisofthedata

Q4.WhichCityhasthehighestaveragetransactionamount?(Itcanbeeasiertoanswerthisquestionifyousortthedata.Clickingthe“sort”buttonwillre-orderthebarssothatthecitywiththehighestaveragetransactionamountwillbethefirstbarlisted).

Maumelle

Q5. Howwouldyouthinkmanagerswouldliketoseetransactionbalancebystate?

Answerswillvary.Managersmayliketoseeadrillabletransactionbalancesotheycanidentifyhighandlowperformersacrosscitiesandstores.

Q6.Whatarefurtherquestionsthatwouldbemeaningfultodrilldownintowiththissamedataset,givenwhatyouhaveseensofar?

Answerswillvary.

TAKEASCREENSHOTOFYOURRESULTS(4-3B)

KeyScreenshot(Answersmayvaryifstudentssortedorcollapsedtheirdata):

(Level2Header)Part4:AddressandRefineResults

WiththismuchdataloadedintoTableau,thereisatremendousamountofanalysisandvisualizationthatyoucando.

Q6.BasedonwhatyouhaveseenoftheaveragetransactionamountsfordifferentdepartmentsandproductsintheMaumellestore,whatwouldyourecommendtotheMaumellestoremanagerwhoistryingtomaximizeprofits?Advertisecertainproductsmore?Advertisecertainproductsless?Openanadditionalstorenearby?Closethisstore,etc.?

Answerswillvary.Thestudentsshoulddrillintoparticularlyhighandlowperformingdepartmentstofindtheiranswers.

Lab4-4ComprehensiveLab:Dillard’sStoreData:VisualizingRegressioninTableau

(Level2Header)Part4:AddressandRefineResults

Q1.Whichofthesethreevariableshaveanoticeabletrendascomparedtotheothers,suggestinggreaterexplanatorypower?

TheOnlinevariable

Q2.Whichofthesethreevariablesdoesthebestatexplainingtheaveragetransactionamount?(Hint:Considerther-squaredineachorthep-valuesamongthethreemodels).

Theonlinevariable

Q3.ThecoefficientontheDLRD-dummyisnegativehere.Whatdoesthatsuggest?Isthatconsisten